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hdbayes: Bayesian Analysis of Generalized Linear Models with Historical
Data
User-friendly functions for leveraging (multiple) historical data set(s) for generalized
linear models. The package contains functions for sampling from the posterior distribution of a
generalized linear model using the prior induced by the Bayesian hierarchical model, power prior
by Ibrahim and Chen (2000) <doi:10.1214/ss/1009212673>, normalized power prior by Duan et al. (2006)
<doi:10.1002/env.752>, normalized asymptotic power prior by Ibrahim et al. (2015) <doi:10.1002/sim.6728>,
commensurate prior by Hobbs et al. (2011) <doi:10.1111/j.1541-0420.2011.01564.x>, robust meta-analytic-predictive
prior by Schmidli et al. (2014) <doi:10.1111/biom.12242>, the latent exchangeability prior by Alt et al. (2023)
<doi:10.48550/arXiv.2303.05223>, and a normal (or half-normal) prior. Functions for computing the marginal
log-likelihood under each of the implemented priors are also included. The package compiles all
the 'CmdStan' models once during installation using the 'instantiate' package.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
instantiate (≥ 0.1.0), callr, fs, formula.tools, stats, posterior, enrichwith, mclust, bridgesampling, mvtnorm |
| Suggests: |
cmdstanr (≥ 0.6.0), ggplot2, knitr, parallel, rmarkdown, tibble, dplyr |
| Published: |
2024-08-22 |
| DOI: |
10.32614/CRAN.package.hdbayes |
| Author: |
Ethan M. Alt 
[aut, cre, cph],
Xinxin Chen [aut],
Luiz M. Carvalho [aut],
Joseph G. Ibrahim [aut],
Xiuya Chang [ctb] |
| Maintainer: |
Ethan M. Alt <ethanalt at live.unc.edu> |
| BugReports: |
https://github.com/ethan-alt/hdbayes/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ethan-alt/hdbayes |
| NeedsCompilation: |
yes |
| SystemRequirements: |
CmdStan
(https://mc-stan.org/users/interfaces/cmdstan) |
| Additional_repositories: |
https://mc-stan.org/r-packages/ |
| Materials: |
NEWS |
| CRAN checks: |
hdbayes results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=hdbayes
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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